package domain

import (
	"errors"
	"testing"
)

// TestGroupPointsTieModes 直接验证「一组并列者拿多少分」的分支，覆盖三种口径与边界。
func TestGroupPointsTieModes(t *testing.T) {
	ev := individualEvent(1)
	cat := testCategory()

	cases := []struct {
		name    string
		profile ScoringProfile
		start   int
		size    int
		last    int
		want    float64
	}{
		{"skip 单人第1", nineProfile(TieSkip), 1, 1, 8, 9},
		{"skip 单人第2", nineProfile(TieSkip), 2, 1, 8, 7},
		{"skip 两人并列第2", nineProfile(TieSkip), 2, 2, 8, 7},
		{"average 两人并列第2", nineProfile(TieAverage), 2, 2, 8, 6.5},
		{"higher 两人并列第2", nineProfile(TieHigher), 2, 2, 8, 7},
		{"skip 三人并列第3", nineProfile(TieSkip), 3, 3, 8, 6},
		{"average 三人并列第3", nineProfile(TieAverage), 3, 3, 8, 5},
		{"higher 三人并列第3", nineProfile(TieHigher), 3, 3, 8, 6},
		{"average 两人并列第6", nineProfile(TieAverage), 6, 2, 8, 2.5},
		{"higher 两人并列第6", nineProfile(TieHigher), 6, 2, 8, 3},
		{"skip 超出录取名次", nineProfile(TieSkip), 9, 1, 9, 0},
		{"空模板口径按 skip", ScoringProfile{AwardRanks: 8, Rules: nineProfile(TieSkip).Rules}, 2, 1, 8, 7},
		{"lastPlaceZero 抹掉最后一名", ScoringProfile{AwardRanks: 8, LastPlaceZero: true, Rules: nineProfile(TieSkip).Rules}, 1, 1, 1, 0},
		{"lastPlaceZero 抹掉并列末位整组", ScoringProfile{AwardRanks: 8, LastPlaceZero: true, Rules: nineProfile(TieSkip).Rules}, 2, 2, 3, 0},
		{"权重相乘", nineProfile(TieSkip), 1, 1, 8, 9},
	}
	for _, tc := range cases {
		t.Run(tc.name, func(t *testing.T) {
			got := groupPoints(tc.profile, tc.start, tc.size, tc.last, ev, cat)
			if !nearlyEqual(got, tc.want) {
				t.Fatalf("groupPoints = %v，期望 %v", got, tc.want)
			}
		})
	}

	t.Run("项目与组别权重相乘", func(t *testing.T) {
		ev := individualEvent(2)
		cat := EventCategory{ID: 1, Multiplier: 3}
		got := groupPoints(nineProfile(TieSkip), 1, 1, 8, ev, cat)
		if !nearlyEqual(got, 54) {
			t.Fatalf("9 × 2 × 3 = %v，期望 54", got)
		}
	})
}

// TestAwardRanksAndLastPlaceZero 覆盖录取名次与「最后一名 0 分」的组合边界。
func TestAwardRanksAndLastPlaceZero(t *testing.T) {
	cases := []struct {
		name    string
		profile ScoringProfile
		n       int
		want    []float64
	}{
		{
			"录取6名，7人参赛，末位不强制0",
			ScoringProfile{AwardRanks: 6, Rules: individualTop6().Rules},
			7, []float64{10, 8, 6, 3, 2, 1, 0},
		},
		{
			"录取6名，7人参赛，末位强制0",
			ScoringProfile{AwardRanks: 6, LastPlaceZero: true, Rules: individualTop6().Rules},
			7, []float64{10, 8, 6, 3, 2, 1, 0},
		},
		{
			"录取6名，5人参赛，末位不强制0",
			ScoringProfile{AwardRanks: 6, Rules: individualTop6().Rules},
			5, []float64{10, 8, 6, 3, 2},
		},
		{
			"录取6名，5人参赛，末位强制0",
			ScoringProfile{AwardRanks: 6, LastPlaceZero: true, Rules: individualTop6().Rules},
			5, []float64{10, 8, 6, 3, 0},
		},
		{
			"只录取3名",
			ScoringProfile{AwardRanks: 3, Rules: individualTop6().Rules},
			5, []float64{10, 8, 6, 0, 0},
		},
		{
			"不配录取名次时以表为准",
			ScoringProfile{Rules: individualTop6().Rules},
			8, []float64{10, 8, 6, 3, 2, 1, 0, 0},
		},
		{
			"仅1人参赛且末位强制0",
			ScoringProfile{AwardRanks: 6, LastPlaceZero: true, Rules: individualTop6().Rules},
			1, []float64{0},
		},
	}
	for _, tc := range cases {
		t.Run(tc.name, func(t *testing.T) {
			entries, results := fixture(lineup(tc.n))
			es := mustScore(t, EventScoreInput{
				Event: individualEvent(1), Category: testCategory(),
				Channels: []ScoreChannel{athleteResultChannel(9)},
				Profiles: map[int64]ScoringProfile{9: tc.profile},
				Entries:  entries, Results: results,
			})
			assertEntryPoints(t, pointsByEntry(es.Ledger), tc.want)
		})
	}
}

// TestMultiplierCombinations 验证「积分表 × 项目权重 × 组别权重」，权重缺失按 1。
func TestMultiplierCombinations(t *testing.T) {
	cases := []struct {
		name         string
		eventMult    float64
		categoryMult float64
		want         float64
	}{
		{"默认 1×1", 1, 1, 10},
		{"项目权重 2", 2, 1, 20},
		{"组别权重 2", 1, 2, 20},
		{"双权重 2×3", 2, 3, 60},
		{"权重缺失按 1", 0, 0, 10},
		{"项目权重 0.5", 0.5, 1, 5},
	}
	for _, tc := range cases {
		t.Run(tc.name, func(t *testing.T) {
			entries, results := fixture(lineup(1))
			es := mustScore(t, EventScoreInput{
				Event:    individualEvent(tc.eventMult),
				Category: EventCategory{ID: 1, Multiplier: tc.categoryMult},
				Channels: []ScoreChannel{athleteResultChannel(1)},
				Profiles: map[int64]ScoringProfile{1: individualTop6()},
				Entries:  entries, Results: results,
			})
			if got := pointsByEntry(es.Ledger)[1]; !nearlyEqual(got, tc.want) {
				t.Fatalf("积分 = %v，期望 %v", got, tc.want)
			}
		})
	}
}

// TestScopeAndLedgerAttribution 验证通道 scope 决定流水记给个人还是单位。
func TestScopeAndLedgerAttribution(t *testing.T) {
	t.Run("athlete 通道记到个人", func(t *testing.T) {
		entries, results := fixture(lineup(1))
		es := mustScore(t, EventScoreInput{
			Event: individualEvent(1), Category: testCategory(),
			Channels: []ScoreChannel{athleteResultChannel(1)},
			Profiles: map[int64]ScoringProfile{1: individualTop6()},
			Entries:  entries, Results: results,
		})
		e := es.Ledger[0]
		if e.AthleteID != 101 || e.TeamID != 1001 {
			t.Fatalf("流水归属 = 单位 %d / 个人 %d，期望 1001/101", e.TeamID, e.AthleteID)
		}
	})

	t.Run("team 通道仅记单位", func(t *testing.T) {
		ps := lineup(1)
		ps[0].rank = 1
		entries, results := fixture(ps)
		es := mustScore(t, EventScoreInput{
			Event: teamEvent(1), Category: testCategory(),
			Channels: []ScoreChannel{teamManualChannel(2)},
			Profiles: map[int64]ScoringProfile{2: teamTop6()},
			Entries:  entries, Results: results,
		})
		if es.Ledger[0].AthleteID != 0 {
			t.Fatalf("team 通道的 AthleteID = %d，期望 0", es.Ledger[0].AthleteID)
		}
		if !nearlyEqual(es.Ledger[0].Points, 15) {
			t.Fatalf("团体第一名积分 = %v，期望 15", es.Ledger[0].Points)
		}
	})

	t.Run("athlete 通道但报名项无运动员时退化为单位流水", func(t *testing.T) {
		entries, results := fixture([]participant{{entryID: 1, teamID: 1001, value: 1}})
		es := mustScore(t, EventScoreInput{
			Event: individualEvent(1), Category: testCategory(),
			Channels: []ScoreChannel{athleteResultChannel(1)},
			Profiles: map[int64]ScoringProfile{1: individualTop6()},
			Entries:  entries, Results: results,
		})
		if es.Ledger[0].AthleteID != 0 {
			t.Fatalf("无运动员的报名项 AthleteID = %d，期望 0", es.Ledger[0].AthleteID)
		}
	})
}

// TestAggregateChannel 覆盖预留的 aggregate 通道：先汇总、再排名。
func TestAggregateChannel(t *testing.T) {
	build := func() ([]Entry, []Result) {
		return fixture([]participant{
			{entryID: 1, athleteID: 1, teamID: 1001, value: 1},
			{entryID: 2, athleteID: 2, teamID: 1001, value: 2},
			{entryID: 3, athleteID: 3, teamID: 1002, value: 4},
		})
	}
	cases := []struct {
		name    string
		method  AggregateMethod
		compare CompareMode
		wantA   float64
		wantB   float64
	}{
		{"sum 升序", AggregateSum, CompareAsc, 15, 10},
		{"avg 升序", AggregateAvg, CompareAsc, 15, 10},
		{"max 升序", AggregateMax, CompareAsc, 15, 10},
		{"min 升序", AggregateMin, CompareAsc, 15, 10},
		{"count 降序", AggregateCount, CompareDesc, 15, 10},
		{"count 升序", AggregateCount, CompareAsc, 10, 15},
		{"sum 降序", AggregateSum, CompareDesc, 10, 15},
		{"默认方法按 sum", "", CompareAsc, 15, 10},
	}
	for _, tc := range cases {
		t.Run(tc.name, func(t *testing.T) {
			entries, results := build()
			ev := teamEvent(1)
			ev.Compare = tc.compare
			es := mustScore(t, EventScoreInput{
				Event: ev, Category: testCategory(),
				Channels: []ScoreChannel{teamAggregateChannel(2, tc.method)},
				Profiles: map[int64]ScoringProfile{2: teamTop6()},
				Entries:  entries, Results: results,
			})
			got := pointsByTeam(es.Ledger)
			if !nearlyEqual(got[1001], tc.wantA) || !nearlyEqual(got[1002], tc.wantB) {
				t.Fatalf("聚合排名 = %v，期望 1001:%v / 1002:%v", got, tc.wantA, tc.wantB)
			}
		})
	}

	t.Run("汇总后同分并列", func(t *testing.T) {
		entries, results := fixture([]participant{
			{entryID: 1, athleteID: 1, teamID: 1001, value: 1},
			{entryID: 2, athleteID: 2, teamID: 1001, value: 3},
			{entryID: 3, athleteID: 3, teamID: 1002, value: 4},
		})
		es := mustScore(t, EventScoreInput{
			Event: teamEvent(1), Category: testCategory(),
			Channels: []ScoreChannel{teamAggregateChannel(2, AggregateSum)},
			Profiles: map[int64]ScoringProfile{2: teamTop6()},
			Entries:  entries, Results: results,
		})
		got := pointsByTeam(es.Ledger)
		if !nearlyEqual(got[1001], 15) || !nearlyEqual(got[1002], 15) {
			t.Fatalf("同分并列 = %v，期望各 15", got)
		}
	})
}

// TestStatusExclusions 覆盖弃权 / DNS / DSQ 等「0 分且不占名次」的情形。
func TestStatusExclusions(t *testing.T) {
	cases := []struct {
		name        string
		status      ResultStatus
		entryStatus EntryStatus
		state       ResultState
		want        []float64
	}{
		{"成绩 ok", ResultStatusOK, "", "", []float64{10, 8, 6}},
		{"成绩状态空值按 ok", "", "", "", []float64{10, 8, 6}},
		{"成绩 DSQ", ResultStatusDQ, "", "", []float64{10, 0, 8}},
		{"成绩 DNS", ResultStatusDNS, "", "", []float64{10, 0, 8}},
		{"成绩 DNF", ResultStatusDNF, "", "", []float64{10, 0, 8}},
		{"成绩 withdrawn", ResultStatusWithdrawn, "", "", []float64{10, 0, 8}},
		{"报名 scratched", "", EntryStatusScratched, "", []float64{10, 0, 8}},
		{"报名 dq", "", EntryStatusDQ, "", []float64{10, 0, 8}},
		{"报名 dns", "", EntryStatusDNS, "", []float64{10, 0, 8}},
	}
	for _, tc := range cases {
		t.Run(tc.name, func(t *testing.T) {
			ps := lineup(3)
			ps[1].status = tc.status
			ps[1].entryStatus = tc.entryStatus
			ps[1].state = tc.state
			entries, results := fixture(ps)
			es := mustScore(t, EventScoreInput{
				Event: individualEvent(1), Category: testCategory(),
				Channels: []ScoreChannel{athleteResultChannel(1)},
				Profiles: map[int64]ScoringProfile{1: individualTop6()},
				Entries:  entries, Results: results,
			})
			assertEntryPoints(t, pointsByEntry(es.Ledger), tc.want)
		})
	}
}

// TestDraftState 验证草稿不参与计分，除非显式要求。
func TestDraftState(t *testing.T) {
	cases := []struct {
		name          string
		state         ResultState
		includeDrafts bool
		want          []float64
	}{
		{"草稿默认不计分", ResultStateDraft, false, []float64{10, 0, 8}},
		{"草稿显式计入", ResultStateDraft, true, []float64{10, 8, 6}},
		{"已发布正常计分", ResultStatePublished, false, []float64{10, 8, 6}},
		{"状态空值按已发布", "", false, []float64{10, 8, 6}},
	}
	for _, tc := range cases {
		t.Run(tc.name, func(t *testing.T) {
			ps := lineup(3)
			ps[1].state = tc.state
			entries, results := fixture(ps)
			es := mustScore(t, EventScoreInput{
				Event: individualEvent(1), Category: testCategory(),
				Channels: []ScoreChannel{athleteResultChannel(1)},
				Profiles: map[int64]ScoringProfile{1: individualTop6()},
				Entries:  entries, Results: results,
				Options: ScoreOptions{IncludeDrafts: tc.includeDrafts},
			})
			assertEntryPoints(t, pointsByEntry(es.Ledger), tc.want)
		})
	}
}

// TestScoredFlagAndNoChannels 验证「只排名不计分」与「没有通道」都不产生流水。
func TestScoredFlagAndNoChannels(t *testing.T) {
	cases := []struct {
		name     string
		scored   bool
		channels []ScoreChannel
	}{
		{"scored=false 配了通道也不计分", false, []ScoreChannel{athleteResultChannel(1)}},
		{"scored=true 但没有通道", true, nil},
		{"scored=false 且没有通道", false, nil},
	}
	for _, tc := range cases {
		t.Run(tc.name, func(t *testing.T) {
			entries, results := fixture(lineup(3))
			ev := individualEvent(1)
			ev.Scored = tc.scored
			es := mustScore(t, EventScoreInput{
				Event: ev, Category: testCategory(),
				Channels: tc.channels,
				Profiles: map[int64]ScoringProfile{1: individualTop6()},
				Entries:  entries, Results: results,
			})
			if len(es.Ledger) != 0 || len(es.Ranked) != 0 {
				t.Fatalf("流水/名次应为空，实际 %d/%d", len(es.Ledger), len(es.Ranked))
			}
		})
	}
}

// TestScoreEventErrors 覆盖配置类错误，避免错配置静默算错分。
func TestScoreEventErrors(t *testing.T) {
	entries, results := fixture(lineup(1))
	base := EventScoreInput{
		Event: individualEvent(1), Category: testCategory(),
		Channels: []ScoreChannel{athleteResultChannel(404)},
		Profiles: map[int64]ScoringProfile{1: individualTop6()},
		Entries:  entries, Results: results,
	}
	if _, err := ScoreEvent(base); !errors.Is(err, ErrProfileNotFound) {
		t.Errorf("模板缺失错误 = %v，期望 ErrProfileNotFound", err)
	}

	bad := base
	bad.Channels = []ScoreChannel{{ID: 1, Scope: ScopeAthlete, Basis: "magic", ProfileID: 1}}
	if _, err := ScoreEvent(bad); !errors.Is(err, ErrUnknownBasis) {
		t.Errorf("未知 basis 错误 = %v，期望 ErrUnknownBasis", err)
	}

	noCompare := base
	noCompare.Channels = []ScoreChannel{athleteResultChannel(1)}
	noCompare.Event.Compare = CompareNone
	if _, err := ScoreEvent(noCompare); !errors.Is(err, ErrCompareRequired) {
		t.Errorf("compare=none 错误 = %v，期望 ErrCompareRequired", err)
	}

	noCompareAgg := noCompare
	noCompareAgg.Channels = []ScoreChannel{teamAggregateChannel(1, AggregateSum)}
	if _, err := ScoreEvent(noCompareAgg); !errors.Is(err, ErrCompareRequired) {
		t.Errorf("聚合 compare=none 错误 = %v，期望 ErrCompareRequired", err)
	}
}

// TestCompareDirections 验证 asc / desc 两种成绩排序方向。
func TestCompareDirections(t *testing.T) {
	t.Run("asc 越小越好", func(t *testing.T) {
		entries, results := fixture(lineupValues(12, 11, 13))
		es := mustScore(t, EventScoreInput{
			Event: individualEvent(1), Category: testCategory(),
			Channels: []ScoreChannel{athleteResultChannel(1)},
			Profiles: map[int64]ScoringProfile{1: individualTop6()},
			Entries:  entries, Results: results,
		})
		assertEntryPoints(t, pointsByEntry(es.Ledger), []float64{8, 10, 6})
	})
	t.Run("desc 越大越好", func(t *testing.T) {
		entries, results := fixture(lineupValues(12, 11, 13))
		ev := individualEvent(1)
		ev.Compare = CompareDesc
		es := mustScore(t, EventScoreInput{
			Event: ev, Category: testCategory(),
			Channels: []ScoreChannel{athleteResultChannel(1)},
			Profiles: map[int64]ScoringProfile{1: individualTop6()},
			Entries:  entries, Results: results,
		})
		assertEntryPoints(t, pointsByEntry(es.Ledger), []float64{8, 6, 10})
	})
}

// TestMultipleChannelsDoubleCount 复现「团体引体向上」的双通道：个人通道 + 团体通道都计分。
func TestMultipleChannelsDoubleCount(t *testing.T) {
	entries, results := fixture([]participant{
		{entryID: 1, athleteID: 1, teamID: 1001, value: 1},
		{entryID: 2, athleteID: 2, teamID: 1001, value: 3},
		{entryID: 3, athleteID: 3, teamID: 1002, value: 2},
		{entryID: 4, athleteID: 4, teamID: 1002, value: 4},
		{entryID: 5, teamID: 1001, rank: 1, noValue: true},
		{entryID: 6, teamID: 1002, rank: 2, noValue: true},
	})
	es := mustScore(t, EventScoreInput{
		Event: individualEvent(1), Category: testCategory(),
		Channels: []ScoreChannel{athleteResultChannel(1), teamManualChannel(2)},
		Profiles: map[int64]ScoringProfile{1: individualTop6(), 2: teamTop6()},
		Entries:  entries, Results: results,
	})

	var personal, teamOnly int
	for _, e := range es.Ledger {
		if e.AthleteID != 0 {
			personal++
		} else {
			teamOnly++
		}
	}
	if personal != 4 || teamOnly != 2 {
		t.Fatalf("流水构成 = %d 条个人 / %d 条单位，期望 4/2", personal, teamOnly)
	}

	got := SumByTeam(es.Ledger, 1)
	// 单位1001：团体通道15 + 个人10 + 6 = 31；单位1002：10 + 8 + 3 = 21。
	if !nearlyEqual(got[1001].Total, 31) || !nearlyEqual(got[1002].Total, 21) {
		t.Fatalf("单位总分 = %v，期望 1001:31 / 1002:21", got)
	}
}

// TestSameUnitMultipleAthletesBothScore 复现文档示例 2：同单位两人都计分。
func TestSameUnitMultipleAthletesBothScore(t *testing.T) {
	entries, results := fixture([]participant{
		{entryID: 1, athleteID: 1, teamID: 1001, value: 1},
		{entryID: 2, athleteID: 2, teamID: 1002, value: 2},
		{entryID: 3, athleteID: 3, teamID: 1003, value: 3},
		{entryID: 4, athleteID: 4, teamID: 1004, value: 4},
		{entryID: 5, athleteID: 5, teamID: 1001, value: 5},
	})
	es := mustScore(t, EventScoreInput{
		Event: individualEvent(1), Category: testCategory(),
		Channels: []ScoreChannel{athleteResultChannel(1)},
		Profiles: map[int64]ScoringProfile{1: individualTop6()},
		Entries:  entries, Results: results,
	})
	got := SumByTeam(es.Ledger, 1)
	if !nearlyEqual(got[1001].Total, 12) {
		t.Fatalf("单位总分 = %v，期望第1名10 + 第5名2 = 12", got[1001].Total)
	}
}

// TestOneAthleteMultipleEvents 验证一人多项独立计分、个人总分累加。
func TestOneAthleteMultipleEvents(t *testing.T) {
	entries1, results1 := fixture([]participant{{entryID: 1, athleteID: 1, teamID: 1001, value: 1}})
	entries2, results2 := fixture([]participant{{entryID: 2, athleteID: 1, teamID: 1001, value: 2}})
	entries2[0].EventID = 2
	results2[0].EventID = 2

	ledger := mustScore(t, EventScoreInput{
		Event: individualEvent(1), Category: testCategory(),
		Channels: []ScoreChannel{athleteResultChannel(1)},
		Profiles: map[int64]ScoringProfile{1: individualTop6()},
		Entries:  entries1, Results: results1,
	}).Ledger
	ledger = append(ledger, mustScore(t, EventScoreInput{
		Event:    Event{ID: 2, Compare: CompareAsc, Scored: true, Multiplier: 1},
		Category: testCategory(),
		Channels: []ScoreChannel{athleteResultChannel(1)},
		Profiles: map[int64]ScoringProfile{1: individualTop6()},
		Entries:  entries2, Results: results2,
	}).Ledger...)

	if got := SumByAthlete(ledger)[1]; !nearlyEqual(got, 20) {
		t.Fatalf("个人总分 = %v，期望 10 + 10 = 20", got)
	}
}

// TestUnionSharesNormalization 覆盖联队份额的归一化与退化情形。
func TestUnionSharesNormalization(t *testing.T) {
	score := func(shares []TeamShare, mode UnionAttribution) map[int64]float64 {
		entries, results := fixture([]participant{{
			entryID: 1, athleteID: 1, teamID: 1001, value: 1, shares: shares,
		}})
		return pointsByTeam(mustScore(t, EventScoreInput{
			Event: individualEvent(1), Category: testCategory(),
			Channels: []ScoreChannel{athleteResultChannel(1)},
			Profiles: map[int64]ScoringProfile{1: individualTop6()},
			Entries:  entries, Results: results,
			Options: ScoreOptions{UnionAttribution: mode},
		}).Ledger)
	}

	cases := []struct {
		name   string
		shares []TeamShare
		mode   UnionAttribution
		want   map[int64]float64
	}{
		{"份额 3:2 拆分为 6:4", []TeamShare{{1001, 3}, {1002, 2}}, UnionSplit, map[int64]float64{1001: 6, 1002: 4}},
		{"份额 1:1 平分为 5:5", []TeamShare{{1001, 1}, {1002, 1}}, UnionSplit, map[int64]float64{1001: 5, 1002: 5}},
		{"权重为 0 的份额被丢弃", []TeamShare{{1001, 0}, {1002, 1}}, UnionSplit, map[int64]float64{1002: 10}},
		{"份额全非法时退回主单位", []TeamShare{{1001, 0}, {1002, 0}}, UnionSplit, map[int64]float64{1001: 10}},
		{"无份额时归主单位", nil, UnionSplit, map[int64]float64{1001: 10}},
		{"整体归属只记主单位", []TeamShare{{1001, 3}, {1002, 2}}, UnionWhole, map[int64]float64{1001: 10}},
		{"归属口径空值等同整体", []TeamShare{{1001, 3}, {1002, 2}}, "", map[int64]float64{1001: 10}},
	}
	for _, tc := range cases {
		t.Run(tc.name, func(t *testing.T) {
			got := score(tc.shares, tc.mode)
			for id, want := range tc.want {
				if !nearlyEqual(got[id], want) {
					t.Fatalf("单位 %d 得分 = %v，期望 %v（全部 %v）", id, got[id], want, got)
				}
			}
			for id, p := range got {
				if p != 0 {
					if _, ok := tc.want[id]; !ok {
						t.Fatalf("单位 %d 不应得分，实际 %v", id, p)
					}
				}
			}
		})
	}
}

// TestTieDetectionEpsilon 验证「成绩相同」的判定精度。
func TestTieDetectionEpsilon(t *testing.T) {
	t.Run("差值在容差内视为并列", func(t *testing.T) {
		entries, results := fixture(lineupValues(12.01, 12.01+1e-10, 13))
		es := mustScore(t, EventScoreInput{
			Event: individualEvent(1), Category: testCategory(),
			Channels: []ScoreChannel{athleteResultChannel(1)},
			Profiles: map[int64]ScoringProfile{1: individualTop6()},
			Entries:  entries, Results: results,
		})
		assertEntryPoints(t, pointsByEntry(es.Ledger), []float64{10, 10, 6})
	})
	t.Run("差值超过容差不算并列", func(t *testing.T) {
		entries, results := fixture(lineupValues(12.01, 12.02, 13))
		es := mustScore(t, EventScoreInput{
			Event: individualEvent(1), Category: testCategory(),
			Channels: []ScoreChannel{athleteResultChannel(1)},
			Profiles: map[int64]ScoringProfile{1: individualTop6()},
			Entries:  entries, Results: results,
		})
		assertEntryPoints(t, pointsByEntry(es.Ledger), []float64{10, 8, 6})
	})
}

// TestMissingResultOrEntry 验证缺成绩、成绩指向不存在的报名项都不会算出分。
func TestMissingResultOrEntry(t *testing.T) {
	t.Run("没有成绩的报名项不计分", func(t *testing.T) {
		entries, results := fixture(lineup(3))
		results = results[:2] // entry3 还没有成绩
		es := mustScore(t, EventScoreInput{
			Event: individualEvent(1), Category: testCategory(),
			Channels: []ScoreChannel{athleteResultChannel(1)},
			Profiles: map[int64]ScoringProfile{1: individualTop6()},
			Entries:  entries, Results: results,
		})
		assertEntryPoints(t, pointsByEntry(es.Ledger), []float64{10, 8, 0})
	})
	t.Run("孤儿成绩被忽略", func(t *testing.T) {
		entries, results := fixture(lineup(2))
		results = append(results, Result{ID: 999, EventID: 1, EntryID: 404, ResultValue: ptr(0.5), State: ResultStatePublished})
		es := mustScore(t, EventScoreInput{
			Event: individualEvent(1), Category: testCategory(),
			Channels: []ScoreChannel{athleteResultChannel(1)},
			Profiles: map[int64]ScoringProfile{1: individualTop6()},
			Entries:  entries, Results: results,
		})
		assertEntryPoints(t, pointsByEntry(es.Ledger), []float64{10, 8})
	})
	t.Run("别的组别的成绩不串场", func(t *testing.T) {
		entries, results := fixture(lineup(3))
		entries[2].CategoryID = 2
		es := mustScore(t, EventScoreInput{
			Event: individualEvent(1), Category: testCategory(),
			Channels: []ScoreChannel{athleteResultChannel(1)},
			Profiles: map[int64]ScoringProfile{1: individualTop6()},
			Entries:  entries, Results: results,
		})
		assertEntryPoints(t, pointsByEntry(es.Ledger), []float64{10, 8, 0})
	})
}